Research Article
Research on an Intelligent Routing Strategy for Industrial Internet of Things
@INPROCEEDINGS{10.1007/978-3-030-69066-3_11, author={Xu Zhang}, title={Research on an Intelligent Routing Strategy for Industrial Internet of Things}, proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings}, proceedings_a={AICON}, year={2021}, month={7}, keywords={Wireless sensor network RPL Routing metrics Industrial internet of things}, doi={10.1007/978-3-030-69066-3_11} }- Xu Zhang
Year: 2021
Research on an Intelligent Routing Strategy for Industrial Internet of Things
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_11
Abstract
The Industrial Internet of Things is considered to be an important cornerstone of future industrial development and has broad development prospects. It is being deployed to the society on a large scale. Sensor nodes in the Internet of Things will inevitably face many challenges. Due to the limitations of the existing sensor nodes, the traditional energy measurement methods for wireless sensor networks have been difficult to meet. Therefore, this article proposes a new routing protocol for low-power and low-power networks (RPL). The routing measurement method EEM meets the requirements of low-power lossy networks for link quality and energy consumption, and then uses the modified simulation software to test the EEM routing measurement, and performs performance verification on the packet loss rate and network load. The experimental results show that EEM retains the requirements of ETX routing metrics for link quality, realizes the awareness of node energy consumption, and optimizes network load.